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pro vyhledávání: '"Cerulli, Giovanni"'
Autor:
Cerulli, Giovanni
This paper deals with optimal policy learning (OPL) with observational data, i.e. data-driven optimal decision-making, in multi-action (or multi-arm) settings, where a finite set of decision options is available. It is organized in three parts, where
Externí odkaz:
http://arxiv.org/abs/2403.20250
Publikováno v:
Studia Universitatis Vasile Goldis Arad, Seria Stiinte Economice, Vol 34, Iss 3, Pp 26-59 (2024)
The automotive industry is widely considered to be crucial for the economy, as it reflects economic development in general. Despite interest in financial performance, few studies have considered paying attention to the ownership structure among stock
Externí odkaz:
https://doaj.org/article/dfeb3d7ffbb34ce48645b88ee9745b07
Publikováno v:
In Economic Systems June 2024 48(2)
Autor:
Magazzino, Cosimo, Cerulli, Giovanni, Haouas, Ilham, Unuofin, John Onolame, Sarkodie, Samuel Asumadu
Publikováno v:
In Gondwana Research March 2024 127:4-21
Autor:
Cerulli, Giovanni
We present two related Stata modules, r_ml_stata and c_ml_stata, for fitting popular Machine Learning (ML) methods both in regression and classification settings. Using the recent Stata/Python integration platform (sfi) of Stata 16, these commands pr
Externí odkaz:
http://arxiv.org/abs/2103.03122
Autor:
Cerulli, Giovanni
Following in the footsteps of the literature on empirical welfare maximization, this paper wants to contribute by stressing the policymaker perspective via a practical illustration of an optimal policy assignment problem. More specifically, by focusi
Externí odkaz:
http://arxiv.org/abs/2011.04993
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Publikováno v:
In Socio-Economic Planning Sciences October 2023 89
Publikováno v:
In Atmospheric Pollution Research September 2023 14(9)